EP3259714A2 - System and method for transportation scheduling and planning - Google Patents

System and method for transportation scheduling and planning

Info

Publication number
EP3259714A2
EP3259714A2 EP16752026.1A EP16752026A EP3259714A2 EP 3259714 A2 EP3259714 A2 EP 3259714A2 EP 16752026 A EP16752026 A EP 16752026A EP 3259714 A2 EP3259714 A2 EP 3259714A2
Authority
EP
European Patent Office
Prior art keywords
transportation
scheduling
server
optimization
plan
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
EP16752026.1A
Other languages
German (de)
French (fr)
Other versions
EP3259714A4 (en
Inventor
Amos Haggiag
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Optibus Ltd
Original Assignee
Optibus Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Optibus Ltd filed Critical Optibus Ltd
Publication of EP3259714A2 publication Critical patent/EP3259714A2/en
Publication of EP3259714A4 publication Critical patent/EP3259714A4/en
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40—Business processes related to the transportation industry
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/1093—Calendar-based scheduling for persons or groups
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/14—Session management

Definitions

  • the present invention relates to Scheduling systems.
  • the present invention relates to transportation scheduling.
  • the present invention relates to novel improvements in transportation planning and allocation of resources.
  • This transportation scheduling and planning imperative coincides with an added desire to limit the allocation of resources and optimize available transportation resources. This has proven to be especially relevant to those in the public transportation field or bus and airline companies requiring a high degree of versatility and ability to plan, optimize, schedule, amend and change reactively to developing situations both expected and unexpected.
  • the present invention introduces a new system and method for achieving a high degree of novel versatility and ability to create, edit, modify and ran simulations as well as an optimization engine, such as displaying the cost difference after a change, or disallowing edits that are not valid.
  • US patent 8,781,726 discloses a method and system for adjusting a demand response transit schedule, reviewed during performance of the demand response transit schedule.
  • US patent 8,521,577 discloses a method and system for paratransit run-cutting.
  • a target number of paratransit vehicles is determined for each of a set of time intervals.
  • a target number of trips corresponding to the target number of paratransit vehicles is generated for each time interval, each of said mock trips being defined such that a vehicle performing one of said mock trips in one of said time intervals is able to perform any of said mock trips in an immediately subsequent one of said time intervals.
  • the target number of mock trips for each of the time intervals is entered into a fixed-route transit run-cutting application. Paratransit runs are created using fixed-route transit runs generated by said fixed-route transit run-cutting application.
  • the scheduler can select multiple (or all) blocks which were assigned to a transportation resource, and mark the transportation resources as inseparable scheduled tasks block wherein subsequent rescheduling performed with the automated optimization system will treat the task block as a single task and merge the task block into a single transportation resource. Nevertheless, the tasks block can also be displaced and rescheduled as a manually as a whole entity by the scheduler and the same recommendation rules described in the relocate task process will apply here.
  • the present invention is a system and method for transportation scheduling and plan.
  • FIG. 1 is a diagram view of a first embodiment of the system and method for
  • FIG. 2 is a block diagram view of the system and method for transportation scheduling and plan according to the present invention.
  • the system and method for transportation scheduling and plan according to the present invention readily facilitates updating/editing devoid of violations of operator rules, preferences, and regulations.
  • the system and method for transportation scheduling and plan provides an efficient and novel alternative, wherein the present system offers full interactivity between schedulers and the optimization engine, thus efficiently facilitating at least one of the following modifications selected from the group consisting of: executing optimization iteration while changing preferences and constraints, relocating a scheduled task for a first transportation resources to a second transportation resource, or from a first time slot to a second time slot duty, incorporating recommendations on each alternative duty/transportations resource, locking multiple tasks into a schedule block, wherein the at least one block is readily selectable and which at least one blocks is assigned to a transportation resource, and mark the transportation resources as inseparable scheduled tasks block wherein subsequent rescheduling performed with the automated optimization system will treat the task block as a single task and will merge the task block together to a single transportation resource.
  • the present system offers full interactivity between schedulers and the optimization engine, thus efficiently facilitating at least one of the following modifications selected from the group consisting of: executing optimization iteration while changing preferences and constraints, relocating a scheduled
  • the tasks block can also be displaced and rescheduled as a whole manually by the scheduler and the same recommendation rules described in the relocate task process will apply here, inserting a new transportation resource row - the scheduler readily facilitates inserting a new transportation resource row, along with the transportation resource type, for rescheduling tasks from existing transportation resources into a specific transportation resource selected and changing the time of one or more trips (departure, arrival, or both).
  • a system and method for transportation scheduling and plan 10 includes at least three elements: a client interface 12, wherein client interface 12 is preferably displayed as a Gantt chart, a server 14 wherein server 14 preferably includes an optimization engine 16 and a data set 18, wherein data set 18 preferably includes a plurality of tasks (not shown in Figure 1) for scheduling.
  • Server 14 is a Web server wherein server 14 is responsive to requests received from client interface 12.
  • server 14 transfers requests to optimization engine 16 or a second server, getting response and send it back to the client interface 12 for visualization.
  • optimization engine 16 is situated on a single hardware platform with web server 14.
  • system and method for transportation scheduling and plan 10 includes an optimization engine 16, and a web server 14, wherein optimization engine 16, and web server 14 are situated on at least two distinct and separate hardware platform.
  • At least one component selected from the group consisting of: client interface 12, server 14, data service, interface service including scheduling process 22, session manager 30 and optimization engine 16 are remotely located and electronically connected to client interface 12.
  • At least on one component selected from the group consisting of: client interface 12, server 14, data service, interface service including scheduling process 22, session manager 30 and optimization engine 16 are wirelessly connected to at least one component selected from the group consisting of: client interface 12, server 14, data service, interface service including scheduling process 22, session manager 30 and optimization engine 16.
  • client interface 12 preferably displays on an output module (not shown in Figure 1) the current scheduling state of the tasks and server 14 will preferably hold a session which will preferably include a representation by optimization engine 16 of data set 18 as well as a current scheduling (not shown in Figure 1).
  • system and method for transportation scheduling and plan 10 can readily request a scheduling operation from server 14 via client interface 12 with the relevant constraints while asking server 14 to schedule specific tasks together and/or to specific vehicles.
  • system and method for transportation scheduling and plan 10 can manually change the current scheduling by relocating tasks (such as dragging and dropping tasks in a Gantt chart) between vehicles and resources.
  • the current scheduling state is kept in sync with the server session, thereby facilitating minimal data transfer between the client interface 12) and server 14 on each change the client interface 12 performs and each optimization result server 14 generates.
  • system and method for transportation scheduling and plan 10 preferably receives recommendations server 14 for each operation system and method for transportation scheduling and plan 10 attempts to complete, preferably by way of having both server 14 and the client interface 12 execute relevant optimization and validity logic associated to the operation.
  • server 14 returns a rapid response.
  • the response provide by server 14 is significantly shorter than a minute.
  • the response provide by server 14 is shorter than a second.
  • the response provide by server 14 is substantially under 500 milliseconds.
  • server 14 preferably utilizes a memory module 26 by way of maintaining an in-memory state of the last optimization problem, represented as a network graph 28, which residual network of network graph 28 is substantially at a maximum flow.
  • optimization engine 30 receives a request by way of client interface 12, a small number of adjustments are made to the network graph 28 that represent a minor manual change (e.g. changing a single trip start time).
  • optimization engine 16 initiates an optimization process, using a plurality network flow algorithms.
  • the optimization process starts from the last state as the initial state of the network, after applying the modifications.
  • the algorithms then run a full optimization, invariably completed very fast due to the tight potential on most edges. Occasioning on the algorithm not completing the process within 500ms, the user is notified and can continue to work asynchronously.
  • system and method for transportation scheduling and plan 10 merges the changes made that were not part of the optimization requests.
  • optimization engine 16 runs at least one additional optimization including the newly added changes.
  • client interface 12 requests at least one data set 18 substantially subsequently to a session starting.
  • client interface 12 displays data set 18 on client interface 12.
  • the client Upon user modifications, the client passes the user modifications to server 14. Upon receiving a response which contains notifications selected from the group consisting of recommendations, warnings, and the like. Preferably, the notifications are displayed on client interface 12.
  • interactive Server 14 receives a signal to start an interactive session when the user asks to get a data set 18, substantially contemporaneously with getting data set 18 from a database.
  • the signal is passed to a Session Manager 30 for creating an optimization session.
  • server 14 Upon receiving an interactive request which includes the user modifications, server 14 requests the active session from Session Manager 30.
  • the session contains the endpoint for directly communicating with the optimization engine that holds this session. Then, the interactive service directly communicates the modification to session optimization engine 16.
  • Session Manager 30 receives a request for creating a session. Session manager 30 sends a request to the optimization engine 16 to create a new optimization instance with the dataset. Then, when receiving a request to get the session, session manager 30 returns the endpoint of the optimization instance.
  • optimization engine 16 receives a request for creating a new optimization instance, wherein optimization engine 16 initiates a new optimization process which upon startup preferably including the steps:
  • b Creating indices to access common fields (e.g. trip id, empty trip, etc.). c. Building a network flow graph 28 from the trips that represents the available connections between trips, with their associated costs according to cost functions and preferences. d. Optimizing the network by running minimum cost flow algorithms to obtain the min-cost flow of the network
  • optimization engine 16 performs the steps:
  • transportation shall include but will not be hmited to: a means of conveyance or travel from one place to another including a
  • vehicle or system of vehicles such as a bus, a train, a ship, a boat, a taxi, a car, an automobile, a two and three wheeled vehicle, a sea vessel, an aircraft or an airborne carrier and the like for private and public conveyance of passengers or goods especially as a commercial enterprise.
  • a system and method for transportation scheduling and plan 10 includes at least three elements: a client interface 12, wherein client interface 12 is preferably displayed as a Gantt chart, a server 14 wherein server 14 preferably includes an optimization engine 16 and a data set 18, wherein data set 18 preferably includes a plurality of tasks 20 for scheduling.
  • client interface 12 preferably displays on an output module 24 the current scheduling 32 state of the tasks 20 and server 14 will preferably hold a session which will preferably include a representation by optimization engine 16 of data set 18 as well as a current scheduling 32.
  • output module 24 can be selected from the group consisting of: a wired telecommunication device 34, a wireless communication device 36, a physical output device 38, a display 40 and an audio device 42.
  • output module 24 can include a dispatch and/or dispatcher for readily conveying schedule 32 to at least one intended recipient including but not limited to, a driver, a dedicated on-board system, a computerized relay, a cell phone and a display.
  • a dispatch and/or dispatcher for readily conveying schedule 32 to at least one intended recipient including but not limited to, a driver, a dedicated on-board system, a computerized relay, a cell phone and a display.
  • system and method for transportation scheduling and plan 10 can readily request a scheduling 32 operation from server 14 via client interface 12 with the relevant constraints while asking server 14 to schedule specific tasks 20 together and/or to specific vehicles.
  • system and method for transportation scheduling and plan 10 can manually change the current scheduling 32 by relocating tasks 20 (such as dragging and dropping tasks in a Gantt chart) between vehicles and resources.
  • the current scheduling 32 state is kept in sync with the server session, thereby facilitating minimal data transfer between the client interface 12 and server 14 on each change the client interface 12 performs and each optimization result server 14 generates.
  • system and method for transportation scheduling and plan 10 preferably receives recommendations server 14 for each operation system and method for transportation scheduling and plan 10 attempts to complete, preferably by way of having both server 14 and the client interface 12 execute relevant optimization and validity logic associated to the operation.
  • server 14 returns a rapid response.
  • the response provide by server 14 is significantly shorter than a minute.
  • the response provide by server 14 is shorter than a second.
  • the response provide by server 14 is substantially under 500 milliseconds.
  • server 14 preferably utilizes a memory module 26 by way of maintaining an in-memory state of the last optimization problem, represented as a network graph 28, which residual network of network graph 28 is substantially at a maximum flow.
  • optimization engine 30 receiving a request by way of client interface 12, a small number of adjustments are made to the network graph 28 that represent a minor manual change (e.g. changing a single trip start time).
  • optimization engine 16 initiates an optimization process, using a plurality network flow algorithms.
  • the optimization process starts from the last state as the initial state of the network, after applying the modifications to the residual network.
  • the algorithms then run full optimization, which usually conclude rapidly due to the residual network preferably being substantially optimized tight potential on most edges. Occasioning on the algorithm not completing the process within 500ms, the user is notified and can continue to work asynchronously.
  • system and method for transportation scheduling and plan 10 merges the changes made that were not part of the optimization requests.
  • optimization engine 16 runs at least one additional optimization including the newly added changes.
  • client interface 12 requests at least one data set 18 substantially subsequently to a session starting.
  • client interface 12 displays data set 18 on client interface 12.
  • the client passed the user modifications to server 14.
  • server 14 Upon receiving a response which contains notifications selected from the group consisting of recommendations, warnings, and the like.
  • the notifications are displayed on client interface 12.
  • interactive Server 14 receives a signal to start an interactive session when the user asks to get a data set 18, substantially contemporaneously with getting data set 18 from a database.
  • the signal is passed to a Session Manager 30 for creating an optimization session.
  • server 14 Upon receiving an interactive request which includes the user modifications, server 14 requests the active session from Session Manager 30.
  • the session contains the endpoint for directly communicating with the optimization engine that holds this session. Then, the interactive service directly communicates the modification to session optimization engine 16.
  • Session Manager 30 receives a request for creating a session. Session manager 30 sends a request to the optimization engine 16 to create a new optimization instance with the dataset. Then, when receiving a request to get the session, session manager 30 returns the endpoint of the optimization instance.
  • optimization engine 16 receives a request for creating a new optimization instance, wherein optimization engine 16 initiates a new optimization process which upon startup preferably including the steps:
  • optimization engine 16 performs the steps:

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Abstract

A system and method whereby a user can create transportation scheduling, either on-line, off-line or real-time basis without consuming extended periods of time and readily capable of rapidly addressing new sets of parameters and/or readily facilitating interactive permutation and alteration scenario running including a client interface, an optimization engine electronically attached to client interface, wherein the optimization engine includes a in-memory state of at least one last optimization problem, a server responsive to input from the client interface, and a data set electronically attached to the server for scheduling transportation.

Description

SYSTEM AND METHOD FOR TRANSPORTATION SCHEDULING AND
PLANNING
FIELD OF THE INVENTION
The present invention relates to Scheduling systems. In particular, the present invention relates to transportation scheduling. More specifically, the present invention relates to novel improvements in transportation planning and allocation of resources. BACKGROUND OF THE INVENTION
There has long existed the need for an apparatus and system whereby a user can create transportation scheduling, either on-line, off-line or real-time basis without consuming extended periods of time and readily capable of rapidly addressing new sets of parameters and/or readily facilitating interactive permutation and alteration scenario running, either manually or automatically in accordance to predetermined prioritization.
This transportation scheduling and planning imperative coincides with an added desire to limit the allocation of resources and optimize available transportation resources. This has proven to be especially relevant to those in the public transportation field or bus and airline companies requiring a high degree of versatility and ability to plan, optimize, schedule, amend and change reactively to developing situations both expected and unexpected.
The traditional means of transportation scheduling and planning, has proven to have a number of significant drawbacks. The more prevalent of these drawbacks include the above-mentioned sources for a means of transportation.
Many "scheduler" systems and methods now exist attempting to ensure that users create offline Gantt schedules. The present invention introduces a new system and method for achieving a high degree of novel versatility and ability to create, edit, modify and ran simulations as well as an optimization engine, such as displaying the cost difference after a change, or disallowing edits that are not valid.
Various prior art apparatuses and methods have been described and reviewed in earlier publications, which are incorporated herein by reference for all purposes as if fully set forth herein.
A series of computer programs are known in the art.
US patent 8,781,726 discloses a method and system for adjusting a demand response transit schedule, reviewed during performance of the demand response transit schedule.
US patent 8,521,577 discloses a method and system for paratransit run-cutting is provided. A target number of paratransit vehicles is determined for each of a set of time intervals. A target number of trips corresponding to the target number of paratransit vehicles is generated for each time interval, each of said mock trips being defined such that a vehicle performing one of said mock trips in one of said time intervals is able to perform any of said mock trips in an immediately subsequent one of said time intervals. The target number of mock trips for each of the time intervals is entered into a fixed-route transit run-cutting application. Paratransit runs are created using fixed-route transit runs generated by said fixed-route transit run-cutting application.
Furthermore, and by way of example only, a plurality of computer programs known as Trapeze™, Giro™ and IVU™ have attempted to facilitate creating a schedule and subsequently to perform an edit and then run an optimization engine. Nevertheless, the disclosed attempts in the programs known in the art still have many disadvantages. The programs known in the art do not teach accelerated updating/editing of solutions to day-to-day changes, accelerated updating/editing from the moment the change occur until the schedule can be changed, it may take a week or more, nor do the programs known in the art provide optimal scheduling for many manual edits, with no optimization engine to guard for efficiency.
Thus, such inventions as those described above generally suffer from at least one of several disadvantages, including, amongst others, attempted updating/editing with known programs often leads to Violations of operator rules, preferences, and regulations due to un-guarded manual editing. Therefore, the need exists to create a system and method whereby the foregoing disadvantages are adequately remedied to provide an efficient and novel alternative, wherein a system will offer full interactivity between schedulers and the optimization engine, thus allowing the following modifications:
a) Execute optimization iteration while changing preferences and constraints.
b) Relocate a scheduled task for a first transportation resources to a second transportation resource, or from a first time slot to a second time slot duty, and getting recommendations on each alternative duty/transportations resource.
c) Lock multiple tasks into one schedule block - the scheduler can select multiple (or all) blocks which were assigned to a transportation resource, and mark the transportation resources as inseparable scheduled tasks block wherein subsequent rescheduling performed with the automated optimization system will treat the task block as a single task and merge the task block into a single transportation resource. Nevertheless, the tasks block can also be displaced and rescheduled as a manually as a whole entity by the scheduler and the same recommendation rules described in the relocate task process will apply here.
d) Insert a new transportation resource row - the scheduler can insert a new transportation resource row, along with the transportation resource type, which can be used to reschedule tasks from existing transportation resources into a specific transportation resource selected,
e) Change the time of one or more trips (departure, arrival , or both)
SUMMARY OF THE INVENTION
The present invention is a system and method for transportation scheduling and plan.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a diagram view of a first embodiment of the system and method for
transportation scheduling and plan demonstrating Sequence diagram of the interactive requests/responses; and
FIG. 2 is a block diagram view of the system and method for transportation scheduling and plan according to the present invention.
DETAILED DESCRIPTION OF THE INVENTION
The system and method for transportation scheduling and plan according to the present invention, as described herein, readily facilitates updating/editing devoid of violations of operator rules, preferences, and regulations.
Preferably, the system and method for transportation scheduling and plan according to the present invention, provides an efficient and novel alternative, wherein the present system offers full interactivity between schedulers and the optimization engine, thus efficiently facilitating at least one of the following modifications selected from the group consisting of: executing optimization iteration while changing preferences and constraints, relocating a scheduled task for a first transportation resources to a second transportation resource, or from a first time slot to a second time slot duty, incorporating recommendations on each alternative duty/transportations resource, locking multiple tasks into a schedule block, wherein the at least one block is readily selectable and which at least one blocks is assigned to a transportation resource, and mark the transportation resources as inseparable scheduled tasks block wherein subsequent rescheduling performed with the automated optimization system will treat the task block as a single task and will merge the task block together to a single transportation resource. Nevertheless, the tasks block can also be displaced and rescheduled as a whole manually by the scheduler and the same recommendation rules described in the relocate task process will apply here, inserting a new transportation resource row - the scheduler readily facilitates inserting a new transportation resource row, along with the transportation resource type, for rescheduling tasks from existing transportation resources into a specific transportation resource selected and changing the time of one or more trips (departure, arrival, or both).
As shown in Figure 1, a system and method for transportation scheduling and plan 10 according to the present invention includes at least three elements: a client interface 12, wherein client interface 12 is preferably displayed as a Gantt chart, a server 14 wherein server 14 preferably includes an optimization engine 16 and a data set 18, wherein data set 18 preferably includes a plurality of tasks (not shown in Figure 1) for scheduling.
Preferably, Server 14 is a Web server wherein server 14 is responsive to requests received from client interface 12. Preferably and thereafter, server 14 transfers requests to optimization engine 16 or a second server, getting response and send it back to the client interface 12 for visualization. Optionally, optimization engine 16, is situated on a single hardware platform with web server 14.
Alternatively, system and method for transportation scheduling and plan 10 includes an optimization engine 16, and a web server 14, wherein optimization engine 16, and web server 14 are situated on at least two distinct and separate hardware platform.
Optionally, at least one component selected from the group consisting of: client interface 12, server 14, data service, interface service including scheduling process 22, session manager 30 and optimization engine 16 are remotely located and electronically connected to client interface 12.
Alternatively, at least on one component selected from the group consisting of: client interface 12, server 14, data service, interface service including scheduling process 22, session manager 30 and optimization engine 16 are wirelessly connected to at least one component selected from the group consisting of: client interface 12, server 14, data service, interface service including scheduling process 22, session manager 30 and optimization engine 16.
During an interactive scheduling process 22, client interface 12 preferably displays on an output module (not shown in Figure 1) the current scheduling state of the tasks and server 14 will preferably hold a session which will preferably include a representation by optimization engine 16 of data set 18 as well as a current scheduling (not shown in Figure 1).
Preferably, system and method for transportation scheduling and plan 10 can readily request a scheduling operation from server 14 via client interface 12 with the relevant constraints while asking server 14 to schedule specific tasks together and/or to specific vehicles. Preferably, system and method for transportation scheduling and plan 10 can manually change the current scheduling by relocating tasks (such as dragging and dropping tasks in a Gantt chart) between vehicles and resources.
Occasioning on system and method for transportation scheduling and plan 10 relocating tasks between vehicles and resources, the current scheduling state is kept in sync with the server session, thereby facilitating minimal data transfer between the client interface 12) and server 14 on each change the client interface 12 performs and each optimization result server 14 generates.
As part of this process system and method for transportation scheduling and plan 10 preferably receives recommendations server 14 for each operation system and method for transportation scheduling and plan 10 attempts to complete, preferably by way of having both server 14 and the client interface 12 execute relevant optimization and validity logic associated to the operation.
Preferably, for the purpose of facilitating an interactive experience, server 14 returns a rapid response. Preferably and typically, the response provide by server 14 is significantly shorter than a minute. Optionally, the response provide by server 14 is shorter than a second. Preferably, the response provide by server 14 is substantially under 500 milliseconds.
To this end, server 14 preferably utilizes a memory module 26 by way of maintaining an in-memory state of the last optimization problem, represented as a network graph 28, which residual network of network graph 28 is substantially at a maximum flow. Upon optimization engine 30 receiving a request by way of client interface 12, a small number of adjustments are made to the network graph 28 that represent a minor manual change (e.g. changing a single trip start time). Preferably and substantially subsequently, optimization engine 16 initiates an optimization process, using a plurality network flow algorithms.
Preferably, the optimization process starts from the last state as the initial state of the network, after applying the modifications.
The algorithms then run a full optimization, invariably completed very fast due to the tight potential on most edges. Occasioning on the algorithm not completing the process within 500ms, the user is notified and can continue to work asynchronously.
Preferably, subsequently to system and method for transportation scheduling and plan 10 finishing the optimization, the user can see the optimization output, and system and method for transportation scheduling and plan 10 merges the changes made that were not part of the optimization requests.
Preferably, optimization engine 16 runs at least one additional optimization including the newly added changes.
As shown in Figure 1, an exemplary sequence diagram of interactive calls between client and server is demonstrated.
Preferably, client interface 12 requests at least one data set 18 substantially subsequently to a session starting. Preferably, client interface 12 displays data set 18 on client interface 12.
Upon user modifications, the client passes the user modifications to server 14. Upon receiving a response which contains notifications selected from the group consisting of recommendations, warnings, and the like. Preferably, the notifications are displayed on client interface 12. Preferably, interactive Server 14 receives a signal to start an interactive session when the user asks to get a data set 18, substantially contemporaneously with getting data set 18 from a database.
Preferably, the signal is passed to a Session Manager 30 for creating an optimization session.
Upon receiving an interactive request which includes the user modifications, server 14 requests the active session from Session Manager 30. The session contains the endpoint for directly communicating with the optimization engine that holds this session. Then, the interactive service directly communicates the modification to session optimization engine 16.
Preferably, Session Manager 30 receives a request for creating a session. Session manager 30 sends a request to the optimization engine 16 to create a new optimization instance with the dataset. Then, when receiving a request to get the session, session manager 30 returns the endpoint of the optimization instance.
Preferably, optimization engine 16 receives a request for creating a new optimization instance, wherein optimization engine 16 initiates a new optimization process which upon startup preferably including the steps:
a. Parsing data set 18, validating data set 18, and creating in-memory objects from dataset 18
b. Creating indices to access common fields (e.g. trip id, empty trip, etc.). c. Building a network flow graph 28 from the trips that represents the available connections between trips, with their associated costs according to cost functions and preferences. d. Optimizing the network by running minimum cost flow algorithms to obtain the min-cost flow of the network
e. Storing the flow in the network, with the potential function (aka residual capacity) of the edges of the network, in-memory
Preferably, thereafter, on a data modification request which is received directly by the optimization instance, optimization engine 16 performs the steps:
a. Finding the modified trips using the fast indices;
b. Modifying the corresponding nodes in the network and their edges;
c. Modifying the corresponding potential function values for the edges that are associated with the modified trips;
d. Running network flow algorithms on the modified residual network; and e. Storing the modified network in memory module 26.
Thus, the result is returned to interactive server 14, and the modified data structures are saved for subsequent modifications on memory module 26.
The term "transportation " as used herein, shall include but will not be hmited to: a means of conveyance or travel from one place to another including a
vehicle or system of vehicles, such as a bus, a train, a ship, a boat, a taxi, a car, an automobile, a two and three wheeled vehicle, a sea vessel, an aircraft or an airborne carrier and the like for private and public conveyance of passengers or goods especially as a commercial enterprise.
The term "transportation resources" as used herein, shall include but will not be limited to: a means of transportation, a handler of a means of transportation, a bank energy sources for a means of transportation, a loading station for loading a means of transport, an off-loading station for off-loading a means of transport and the like. As shown in Figure 2, a system and method for transportation scheduling and plan 10 according to the present invention includes at least three elements: a client interface 12, wherein client interface 12 is preferably displayed as a Gantt chart, a server 14 wherein server 14 preferably includes an optimization engine 16 and a data set 18, wherein data set 18 preferably includes a plurality of tasks 20 for scheduling.
During an interactive scheduling process 22, client interface 12 preferably displays on an output module 24 the current scheduling 32 state of the tasks 20 and server 14 will preferably hold a session which will preferably include a representation by optimization engine 16 of data set 18 as well as a current scheduling 32.
Optionally, output module 24 can be selected from the group consisting of: a wired telecommunication device 34, a wireless communication device 36, a physical output device 38, a display 40 and an audio device 42.
Optionally, output module 24 can include a dispatch and/or dispatcher for readily conveying schedule 32 to at least one intended recipient including but not limited to, a driver, a dedicated on-board system, a computerized relay, a cell phone and a display.
Preferably, system and method for transportation scheduling and plan 10 can readily request a scheduling 32 operation from server 14 via client interface 12 with the relevant constraints while asking server 14 to schedule specific tasks 20 together and/or to specific vehicles.
Preferably, system and method for transportation scheduling and plan 10 can manually change the current scheduling 32 by relocating tasks 20 (such as dragging and dropping tasks in a Gantt chart) between vehicles and resources.
Occasioning on system and method for transportation scheduling and plan 10 relocating tasks 20 between vehicles and resources, the current scheduling 32 state is kept in sync with the server session, thereby facilitating minimal data transfer between the client interface 12 and server 14 on each change the client interface 12 performs and each optimization result server 14 generates.
As part of this process system and method for transportation scheduling and plan 10 preferably receives recommendations server 14 for each operation system and method for transportation scheduling and plan 10 attempts to complete, preferably by way of having both server 14 and the client interface 12 execute relevant optimization and validity logic associated to the operation.
Preferably, for the purpose of facilitating an interactive experience, server 14 returns a rapid response. Preferably and typically, the response provide by server 14 is significantly shorter than a minute. Optionally, the response provide by server 14 is shorter than a second. Preferably, the response provide by server 14 is substantially under 500 milliseconds.
To this end, server 14 preferably utilizes a memory module 26 by way of maintaining an in-memory state of the last optimization problem, represented as a network graph 28, which residual network of network graph 28 is substantially at a maximum flow. Upon optimization engine 30 receiving a request by way of client interface 12, a small number of adjustments are made to the network graph 28 that represent a minor manual change (e.g. changing a single trip start time).
Preferably and substantially subsequently, optimization engine 16 initiates an optimization process, using a plurality network flow algorithms.
Preferably, the optimization process starts from the last state as the initial state of the network, after applying the modifications to the residual network. The algorithms then run full optimization, which usually conclude rapidly due to the residual network preferably being substantially optimized tight potential on most edges. Occasioning on the algorithm not completing the process within 500ms, the user is notified and can continue to work asynchronously.
Preferably, subsequently to system and method for transportation scheduling and plan 10 finishing the optimization, the user can see the optimization output, and system and method for transportation scheduling and plan 10 merges the changes made that were not part of the optimization requests.
Preferably, optimization engine 16 runs at least one additional optimization including the newly added changes.
Preferably, client interface 12 requests at least one data set 18 substantially subsequently to a session starting. Preferably, client interface 12 displays data set 18 on client interface 12.
Upon user modifications, the client passed the user modifications to server 14. Upon receiving a response which contains notifications selected from the group consisting of recommendations, warnings, and the like. Preferably, the notifications are displayed on client interface 12.
Preferably, interactive Server 14 receives a signal to start an interactive session when the user asks to get a data set 18, substantially contemporaneously with getting data set 18 from a database.
Preferably, the signal is passed to a Session Manager 30 for creating an optimization session.
Upon receiving an interactive request which includes the user modifications, server 14 requests the active session from Session Manager 30. The session contains the endpoint for directly communicating with the optimization engine that holds this session. Then, the interactive service directly communicates the modification to session optimization engine 16.
Preferably, Session Manager 30 receives a request for creating a session. Session manager 30 sends a request to the optimization engine 16 to create a new optimization instance with the dataset. Then, when receiving a request to get the session, session manager 30 returns the endpoint of the optimization instance.
Preferably, optimization engine 16 receives a request for creating a new optimization instance, wherein optimization engine 16 initiates a new optimization process which upon startup preferably including the steps:
a. Parsing data set 18, validating data set 18, and creating in-memory objects from dataset 18
b. Creating indices to access common fields (e.g. trip id, idle trip, etc.).
c. Building a network flow graph 28 from the trips that represents the available connections between trips, with their associated costs according to cost functions and preferences.
d. Optimizing the network by running minimum cost flow algorithms to obtain the min-cost flow of the network
e. Storing the flow in the network, with the potential function (aka residual capacity) of the edges of the network, in-memory
Preferably, thereafter, on a data modification request which is received directly by the optimization instance, optimization engine 16 performs the steps:
a. Finding the modified trips using the fast indices;
b. Modifying the corresponding nodes in the network and their edges; c. Modifying the corresponding potential function values for the edges that are associated with the modified trips;
d. Running network flow algorithms on the modified residual network; and e. Storing the modified network in memory module 26.
Thus, the result is returned to interactive server 14, and the modified data structures are saved for subsequent modifications on memory module 26.
It will be appreciated that the above descriptions are intended to only serve as examples, and that many other embodiments are possible within the spirit and scope of the present invention.

Claims

What is claimed is:
1. A system and method for transportation scheduling and plan comprising:
(a) a client interface;
(b) an optimization engine electronically attached to client interface, wherein said optimization engine includes a in-memory state of at least one last optimization problem;
(c) a server responsive to input from said client interface; and
(d) a data set electronically attached to said server for scheduling transportation.
2. The system and method for transportation scheduhng and plan of claim 1, wherein said dataset further comprises a plurality of tasks.
3. The system and method for transportation scheduhng and plan of claim 2, further comprising an output module.
4. The system and method for transportation scheduling and plan of claim 3, further comprising a session manager.
5. A system and method for transportation scheduling and plan comprising:
(a) a client interface including a output module;
(b) a server responsive to input from said client interface, wherein said server further includes a session manager;
(c) a data set electronically attached to said server for scheduling transportation and wherein said dataset further includes a plurality of tasks; and
(d) wherein said server electronically communicates with said client interface and output module to convey a scheduhng a at least one recipient.
6. The system and method for transportation scheduling and plan of claim 1 further comprising full interactivity between at least one scheduler and said optimization engine, readily facilitating at least one modification selected from the group consisting of: executing optimization iteration while changing preferences and constraints, relocating a scheduled task for a first transportation resources to a second transportation resource, or from a first time slot to a second time slot duty, incorporating recommendations on each alternative duty/transportations resource, locking multiple tasks into a schedule block, wherein said at least one block is readily selectable and which said at least one block is assigned to a transportation resource, and marks the transportation resources as inseparable scheduled tasks block wherein subsequent rescheduling performed with the automated optimization system will treat the task block as a single task and merges said block together into a single transportation resource.
7. The system and method for transportation scheduling and plan of claim 1 wherein at least one component selected from the group consisting of: a server, a data service, an interface service including scheduling process, a session manager and optimization engine are remotely located and electronically connected to said client interface .
8. The system and method for transportation scheduling and plan of claim 1, wherein at least on one component selected from the group consisting of: said client interface, said server, a data service, an interface service including a scheduling process, a session manager and an optimization engine are wirelessly connected to at least one component selected from the group consisting of: a client interface, a server, a data service, interface service including a scheduling process, a session manager and optimization engine.
9. The system and method for transportation scheduling and plan of claim 1, wherein said in-memory state of a last optimization problem is represented as a network graph, wherein said network graph further comprises a residual network of network graph and is substantially at a maximum flow.
10. The system and method for transportation scheduling and plan of claim 9, wherein upon said optimization engine receiving a request by way of said client interface, a plurality of adjustments are made to said network graph representing a minor manual change.
11. The system and method for transportation scheduling and plan of claim 10, wherein said optimization engine initiates an optimization process, using a plurality network flow algorithms and wherein said optimization process starts from the last state as the initial state of the network, after applying at least one modification.
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Publication number Priority date Publication date Assignee Title
US20030135304A1 (en) * 2002-01-11 2003-07-17 Brian Sroub System and method for managing transportation assets
US20060149841A1 (en) * 2004-12-20 2006-07-06 Alcatel Application session management for flow-based statistics
US20070024440A1 (en) * 2005-07-28 2007-02-01 Lucent Technologies Inc. School bus tracking and notification system
US8428990B2 (en) * 2005-08-19 2013-04-23 Siemens Aktiengesellschaft Method for allocating resources to jobs using network flow algorithms
US8676919B2 (en) * 2008-06-26 2014-03-18 Microsoft Corporation Asynchronously editing a synchronous data store, such as a project management data store
US20100106605A1 (en) * 2008-10-23 2010-04-29 Yahoo! Inc. Inventory allocation with tradeoff between fairness and maximal value of remaining inventory
US20100299177A1 (en) * 2009-05-22 2010-11-25 Disney Enterprises, Inc. Dynamic bus dispatching and labor assignment system
US9261376B2 (en) * 2010-02-24 2016-02-16 Microsoft Technology Licensing, Llc Route computation based on route-oriented vehicle trajectories
US20130151421A1 (en) * 2011-12-08 2013-06-13 Oracle International Corporation Real-time project progress entry: applying project team member-entered progress immediately to the project plan
CA2768578C (en) * 2012-02-16 2017-03-07 Trapeze Software Inc. Method and system for adjusting a demand-response transit schedule
DE202013012472U1 (en) * 2012-08-03 2017-01-13 Terra Bella Technologies Inc. Satellite planning system
US9984580B2 (en) * 2015-01-09 2018-05-29 General Electric Company Method and system for robust network planning optimization of airline flight operations

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